ChillZoneHQ detects anomalies 14 minutes before symptoms appear, identifies root cause with 91% precision, and resolves incidents autonomously — without paging a single engineer.
Anomaly scoring across 12,000 concurrent streams with sub-second latency.
Root cause in 140ms across 10,000-node topologies with 91% precision.
Cascade failure forecast at 15, 30, and 60-minute horizons.
340 remediation actions, 78% autonomous resolution rate.
Every model is trained on proprietary data, runs on our inference stack, and calls zero third-party AI services.
Trained on 40B metric datapoints, ICEWATCH uses Temporal Convolutional Networks with Variational Autoencoders to detect statistical anomalies before they manifest as incidents.
Trained on 5.2M topology graphs, ROOTLENS traces causal pathways through your service graph to pinpoint root cause with 91% precision@1 accuracy.
Trained on 18M incident timelines, CASCADEQ predicts cascade failure propagation across your service graph at 15, 30, and 60-minute forecast horizons.
Trained across 2.4M simulation episodes, AUTOHEAL's reinforcement learning agent selects and executes from 340 remediation actions to resolve incidents without human intervention.
"We went from 18 alert tabs to one pane. AUTOHEAL handles the overnight incidents we used to wake engineers for."
"VPC deployment meant we could comply with RBI data residency requirements. ROOTLENS paid for itself in the first incident."
"Replaced Datadog, PagerDuty, and two home-grown tools. The engineering team finally stopped dreading on-call rotations."
No rip-and-replace. ChillZoneHQ runs alongside your existing tools and makes them smarter.
Annual contracts. No per-seat fees. No alert volume caps.
Point ChillZoneHQ at your metrics, logs, and topology. Our lightweight agent deploys in 15 minutes via Helm or Docker.
ICEWATCH and ROOTLENS build a personalized baseline model of your infrastructure over 72 hours — zero configuration needed.
AUTOHEAL begins autonomous remediation. Your MTTR drops from hours to minutes. Your pager goes quiet.
No. All four models are proprietary, trained on our infrastructure, running on our inference stack. We call zero third-party AI services at inference time.
15 minutes to connect your first data source. 72 hours for ICEWATCH and ROOTLENS to build their baseline model. Autonomous remediation by AUTOHEAL begins on day 4.
Yes. COMMAND and SOVEREIGN tiers support full on-premise and VPC-isolated deployment with zero data egress. Particularly designed for RBI and SEBI-regulated environments.
Kubernetes, bare metal, AWS, GCP, Azure, and hybrid environments. Any stack emitting Prometheus metrics or OpenTelemetry traces is supported out of the box.
40–60% lower total cost of ownership at equivalent service coverage. INR-denominated contracts with no USD exposure or foreign exchange risk.
No. Your data trains only your AUTOHEAL instance and is never shared across tenants. In VPC deployments, it never leaves your environment.
See ChillZoneHQ detect it, explain it, and resolve it — before it hits your users.